Cell-Based Vehicle Control via Road Infrastructure Intermediaries
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional intelligent vehicle systems and unmanned autonomous vehicle systems rely on expensive sensors with limited recognition ranges, making them difficult to commercialize for autonomous driving, as they operate independently without effective interaction with road infrastructure.
Innovation Solution
A cell-based vehicle driving control method and system where road infrastructure devices, including global and local servers, collect and provide driving condition information to a vehicle control terminal, which generates and transmits local waypoints for safe and efficient vehicle control, using sensors like image, laser, and ultrasonic sensors to gather road environment and vehicle information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If sensors are mounted in a vehicle to recognize driving environment, then autonomous driving capability is improved, but device complexity and cost increase
Solution Approach 1:
The patent introduces road infrastructure devices (local servers, global server) as intermediaries between the vehicle and the driving environment. These infrastructure devices equiped with sensors collect road environment information and provide processed guidance information to the vehicle, replacing the need for the vehicle to have complex sensor systems. The infrastructure acts as a mediator that handles environmental perception while the vehicle receives simplified guidance commands.
2Extent of automation
If sensors are mounted in a vehicle to recognize driving environment, then autonomous driving capability is improved, but cost increases
Solution Approach 1:
The road infrastructure devices serve as cost-effective intermediaries that perform environmental sensing and processing. Instead of each vehicle requiring expensive sensor suites, the infrastructure devices (local servers with sensors) perform the sensing function once for multiple vehicles in the cell, significantly reducing per-vehicle costs while maintaining autonomous driving capability.
3Loss of information
If conventional sensors are used for autonomous driving, then vehicle-based recognition is achieved, but recognition range is limited to local areas
Solution Approach 1:
The patent transitions from vehicle-centric local sensing to infrastructure-centric global sensing. By placing sensors on road infrastructure rather than vehicles, the system gains a broader spatial dimension for environmental recognition. The infrastructure devices can monitor entire road cells and provide comprehensive guidance information, expanding the effective recognition range from local vehicle surroundings to entire road networks.
Data Source
AI summary
A cell-based vehicle driving control system includes a local server for obtaining road environment information on roads within a cell and target vehicle information on a target vehicle within the cell and generating local waypoints based on the road environment information and the target vehicle information; a global server for monitoring the target vehicle information, the road environment information and local server information on the local server received from the local server; and a vehicle control terminal, mounted in the target vehicle, for receiving the local waypoints from the local server and controlling the target vehicle based on the local waypoints. The road environment information is obtained by using at least one sensor installed on the roads.